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Grid-Based Problem Solving Environments: In 1984 W. J. Cody reviewed progress in numerical software during the previous two decades and then identified future challenges posed by the rapid advances in computing technology*:
Cody’s foresight over 20 years ago was remarkable. The establishment of supercomputer centers coupled with development of distributed computing, including the recent development of grid infrastructure, has resulted in users being increasingly dependent on software resources on remote systems. The IFIP Working Group (2.5) on Numerical Software is organizing an IFIP Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software. In this context, the phrase “Grid-Based Problem Solving Environments” is synonymous with “science gateways” or “science portals”, nomenclature introduced recently by the grid community. The conference will bring together members of four communities:
for a week of intensive interaction, July 17-21, 2006, in Prescott, AZ. The use of the Internet to bring together providers and users of resources has become commonplace. In fact, one of the earliest such tools was Netlib, which started in the 1980’s as an email-based application for distributing numerical software. Other services, such as NetSolve (for linear algebra) and NEOS (for nonlinear and optimization problems) have demonstrated the potential of grid-based problem solving environments from the numerical software perspective. Domain specific PSEs, such as Cactus (developed for numerical relativity) and PYRE (developed for shock physics), have been applied outside their original discipline to generate new PSEs and are being extended to exploit grid technology. Likewise, many tools exist for making a service available. However, there is more to making use of a grid-based service than simply knowing its web address. Does the service work reliably? What are its limitations? Can it be combined with other services? There are also opportunities for improving the ability of applications to use the best numerical software, for example, by simplifying the acquisition and use of high-quality numerical software. The development of numerical software can benefit from the experience of the scientific and engineering communities using and developing new grid-based PSEs, for example, defining interfaces more appropriate for integrating numerical software into grid-oriented applications and exploiting test sets and tools for comparing different methods. Issues of interest to this working conference include, but are not limited to:
This conference will build upon the experience and insights gained during past working conferences organized by WG2.5, in particular, “WoCo4: Problem Solving Environments for Scientific Computing”; “WoCo6 Programming Environments for High-Level Scientific Problem Solving”; and “WoCo8: Software Architectures for Scientific Computing Applications”. The Working Conference is sponsored by the International Federation for Information Processing (IFIP) and organized by IFIP WG 2.5: Working Group on Numerical Software and the Center for Advanced Computing Research at the California Institute of Technology in cooperation with the Society for Industrial and Applied Mathematics (SIAM). The organizational structure for the working conference is the following: Chair
Deputy Chair
Executive Committee
Program Committee
Proceedings Co-Editors
Representative to the Society for Industrial and Applied Mathematics (SIAM)
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